This repository contains code and presentation materials for a deep learning course using PyTorch. It provides hands-on examples for common deep learning architectures including convolutional neural networks, recurrent neural networks, and generative adversarial networks. The repository includes setup instructions for conda environments, PyTorch, and common ML libraries.